Simulate the predator-prey equations. a. p (t ) =  p (t ) −  p (t ) r (t ) r (t ) = − r (t ) +  p (t ) r (t ) hint: i used the values alp=0.04; gam=0.08; bet=0.002; del=0.0004. b. add controls u, v to the predator-prey equations. p (t ) =  p (t ) −  p (t ) r (t ) + u (t ) r(t)= −r(t)+ p(t)r(t)+v(t) the controls could be predator or prey animals added or subtracted from the population (at some rate). suppose, for example, suppose prey animals are added at a fixed rate over a fixed period u(t)=u00 t1tt2  0 elsewhere investigate the impact of this control on the evolution of the population. c. find if possible, feedback control laws that can move the non-trivial equilibrium from its uncontrolled value to a target value. d. use the simulator to check the stability of the new (controlled) equilibrium.

The accompanying table shows the numbers of male and female students in a particular country who received bachelor's degrees in business in a recent year. complete parts (a) and (b) below. business degrees nonbusiness degrees total male 189131 634650 823781 female 169539 885329 1054868 total 358670 1519979 1878649 (a) find the probability that a randomly selected student is male, given that the student received a business degree. the probability that a randomly selected student is male, given that the student received a business degree, is nothing. (round to three decimal places as needed.) (b) find the probability that a randomly selected student received a business degree, given that the student is female. the probability that a randomly selected student received a business degree, given that the student is female, is nothing. (round to three decimal places as needed.)

Someone answer this check out the image!

Maria solved an equation as shown below. what is the solution to maria’s equation?